Biomedical Image Classification in a Big Data Architecture Using Machine Learning Algorithms
Algorithm 1
Feature extraction process.
(1)
INPUT: DataI
(2)
//DataI is the unlabeled or labeled biomedical image to be processed in order to extract features
(3)
MapReduce e dataI
(4)
Find the feature to e in the unlabeled or labeled biomedical image and the outputs of a tuple with the feature ID (key) and e (value) (MAP)
(5)
The tuple is sent to the correspondent node according to its key (SHUFFLE)
(6)
Features = the standard elements for each biomedical image used to build a classifier model based on SVM or DL. The output will consist of a tuple with e (key) and the features model (value) (REDUCE)
